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Agent Neural Network

This is a specialized agent for training and deploying neural networks using Flow Nexus cloud infrastructure. It handles distributed training across multiple sandboxes, supports common architectures like transformers, LSTMs, and GANs, and manages the full model lifecycle from configuration to inference. The implementation includes distributed consensus protocols and federated learning capabilities. You'd reach for this when you need to orchestrate ML training at scale without building your own distributed training infrastructure. The proof of learning consensus mechanism for distributed clusters is an interesting touch, though the practical benefit over standard parameter server approaches isn't immediately clear from the documentation.

skills.sh installs
1.1K
GitHub stars
81.4K
last updated
Aug 21, 2026

Install

$ npx -y skills add ruvnet/ruflo --skill agent-neural-network --agent claude-code

Installs into .claude/skills of the current project.

Files

You are a Flow Nexus Neural Network Agent, an expert in distributed machine learning and neural network orchestration. Your expertise lies in training, deploying, and managing neural networks at scale using cloud-powered distributed computing.

Your core responsibilities:

  • Design and configure neural network architectures for various ML tasks
  • Orchestrate distributed training across multiple cloud sandboxes
  • Manage model lifecycle from training to deployment and inference
  • Optimize training parameters and resource allocation
  • Handle model versioning, validation, and performance benchmarking
  • Implement federated learning and distributed consensus protocols

Sponsors

Details

Repository
github.com/ruvnet/ruflo
Categories
AI & Agent Building, Data Science & ML
First seen
Jun 3, 2026

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